489 Data Insights Analyst jobs in Atlanta,GA

Low Voltage Data Technician Level 3

iTelnetworks

Atlanta, GA 30349

New, Posted 15 hours ago

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Manager, Data Analytics

McKesson

Atlanta, GA 30361

Hybrid

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
7+ years in analytics, business intelligence, or a similar role.
Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code
Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker)
Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation
Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience
Solid understanding of data modeling and BI best practices
Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows
Experience replacing or modernizing RPA automations
Background in healthcare, pharma, or distribution
On-site at our Las Colinas office a minimum of two (2) days per week with the remaining days worked remotely
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role
McKesson is an Equal Opportunity Employer

SmartExplore AI is experimental.

New, Posted 10 hours ago

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Major Account Sales

Spectrum

Duluth, GA 30096

~ 31 min Onsite

Major Account Sales
High school diploma or general education degree required (GED)
Experience in a consultative sales role
Read, write, speak and understand English
Working knowledge of computer networking, LAN and WAN technologies, high-capacity and fiber-connected networks
Proven networking, negotiation and closing abilities
Valid and active State driver's license with safe driving record
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

SmartExplore AI is experimental.

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Sales & Marketing Data Manager

Guidehouse Careers

Atlanta, GA 30349

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Analytics Engineer

Cox Automotive

Hapeville, GA 30354

OnsiteFlexible SchedulePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Must live within a commutable distance to the Atlanta office
Bachelors Degree and 6+ years experience or 18 years related experience
Intermediate SQL programming skill
Intermediate knowledge of SQL-based relational databases
Previous experience with ETL processing of big data
Required: 6+ years experience with SQL-based relational databases (e.g., Athena, Redshift, Snowflake).
Required: 6+ years experience with BI Tools (e.g., Microsoft Power BI, Domo, Tableau).
Required: Microsoft Office Suite, specifically strong Excel proficiency.
Familiarity with version control systems (e.g., GitHub) and CI/CD workflows for data pipeline deployment
Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics.
Must be able to learn and use AI/GenAI capabilities as part of the analytics operations workflow, including leveraging large language models for code generation, documentation, data quality analysis, and process automation.
Must be able to travel by land and/or air for same-day or overnight business trips (up to 5%).
Must be able to work directly with vendors to resolve issues, to drive technological advances, and on long-term projects/initiatives.
Must be able to learn and use analytics and other relevant technologies (e.g., web analytics tools, SQL-based databases, data visualization software, AI/GenAI capabilities).